The Eco-Costs of Material Scarcity, a Resource Indicator for LCA, Derived from a Statistical Analysis on Excessive Price Peaks
Open accessAbstract
The availability of resources is crucial for the socio-economic stability of our society. For more than two decades, there was a debate on how to structure this issue within the context of life-Cycle assessment (LCA). The classical approach with LCA is to describe “scarcity” for future generations (100–1000 years) in terms of absolute depletion. The problem, however, is that the long-term availability is simply not known (within a factor of 100–1000). Outside the LCA community, the short-term supply risks (10–30 years) were predicted, resulting in the list of critical raw materials (CRM) of the European Union (EU), and the British risk list. The methodology used, however, cannot easily be transposed and applied into LCA calculations. This paper presents a new approach to the issue of short-term material supply shortages, based on subsequent sudden price jumps, which can lead to socio-economic instability. The basic approach is that each resource is characterized by its own specific supply chain with its specific price volatility. The eco-costs of material scarcity are derived from the so-called value at risk (VAR), a well-known statistical risk indicator in the financial world. This paper provides a list of indicators for 42 metals. An advantage of the system is that it is directly related to business risks, and is relatively easy to understand. A disadvantage is that “statistics of the past” might not be replicated in the future (e.g., when changing from structural oversupply to overdemand, or vice versa, which appeared an issue for two companion metals over the last 30 years). Further research is recommended to improve the statistics.
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Standard conversion factors from the Eco-Cost V3.0 database were directly applicable for most EF 3.1 impact categories, but depletion indicators for fossil resources and minerals and metals required custom factor derivation owing to the lack of universally accepted unit costs.
“While standard conversion factors from the Eco-Cost V3.0 database (Vogtländer et al. 2019) were directly applicable for most EF 3.1 impact categories, depletion indicators for fossil resources and for minerals and metals required custom factor derivation owing to the lack of universally accepted unit costs.”
From Integrating Life Cycle Assessment, Monetised Externalities and Value Alignment for Strategic Reconfiguration of Circular Business Models: The Case of Smartphones (2026) · cites this paper as Vogtländer et al. 2019
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Cited by
Sorted by citations
Rittershaus, P., Aryan, V., Sánchez, D., Renner, M., & Poeppelbuss, J. (2026) · Business Strategy and the Environment · doi:10.1002/bse.70271 · Cited by 3 · see citing works
- Authors
- Vogtländer, J., Peck, D., & Kurowicka, D.
- Affiliations
- Faculty of Industrial Design Engineering, Department Product Innovation Management, Delft University of Technology, 2628 CE Delft, The Netherlands
- Delft University of Technology (NL)
- ORCID
- Peck, David
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2019-04-25
- Volume
- 11
- Issue
- 8
- Pages
- 2446
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W2941111346
- Cited by
- 26
- References
- 0
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 2 · 2023: 3 · 2022: 6 · 2021: 2 · 2020: 4 · 2019: 1
- FWCI
- 1.38
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Repository (Delft University of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Funders
- EIT RawMaterials Lifelong Learning KAVA Education programme (17226)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Physical Sciences › Engineering › Mechanical Engineering › Extraction and Separation Processes
- Physical Sciences › Environmental Science › Environmental Engineering › Sustainability and Ecological Systems Analysis
- Keywords
- material shortages, eco-costs, resource availability, critical raw materials, price volatility, value at risk, supply risk, metals, supply chain risk
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